Abstract: A failure knowledge structure system including: a failure knowledge database, execution procedures of actions and maintenance as maintenance information regarding a maintenance target instrument; an expression extraction unit that extracts failure expressions and action expressions from a maintenance document; a name identification unit that calculates the occurrence frequencies of execution procedures of maintenance executed before the failure expressions and the action expressions and after the failure expressions and the action expressions on the basis of extraction results of the expression unit and information regarding the execution procedures of maintenance stored in the failure knowledge database, and that further calculates distances between distributions of the failure expressions and distances between distributions of the action expressions; an input/output unit that draws the processing results of the name identification unit as name identification candidates, and that makes it possible to execute

Abstract: A fault finding support system is a fault finding support system for instructing a maintenance worker of an appropriate examination location and examination contents using fault knowledge data in which a causal relationship of fault of a target machine is described, the system including: an examination procedure creation unit that creates an examination procedure with respect to the examination location and the examination contents of the target machine using the fault knowledge data, an examination result storage unit that stores an examination history of performing examination using the examination procedure created by the examination procedure creation unit, an update target extraction unit that recommends an update location of the fault knowledge data using the examination history stored in the examination result storage unit, and a user interface that provides a function of displaying a location extracted by the update target extraction unit and updating the fault knowledge data.

Abstract: The invention provides a maintenance recommendation system in which an inspection item is presented timely in the halfway of an inspection, accuracy of failure mode identification is improved, a failure mode is identified at an early stage, meanwhile, a time required for investigating a content of the failure is reduced, and a time from device failure to reset is shortened. The maintenance recommendation system includes: a primary storage unit that stores an input inspection result; a failure mode probability calculation unit that is configured to calculate a probability of a failure mode based on the inspection result stored in the primary storage unit; an inspection item search unit that is configured to extract an inspection item with the minimum inspection score from uninspected inspection items; and a main routine operation unit that is configured to narrow down a failure mode candidate and an inspection item candidate from all inspection items.

Abstract: A rescheduling system performs rescheduling of passenger transports, some of which should be operated with priority and some of which should be operated ordinarily and includes a schedule prediction simulator unit adapted to create a forecast schedule in which a delay of a passenger transport has been incorporated into the planned schedule and create a modified schedule in which rescheduled objects in a timetable have been incorporated into the forecast schedule; and a rescheduling decision unit adapted to select passenger transports to be rescheduled using the planned schedule and the forecast schedule, determine the rescheduled objects in timetable with respect to the passenger transports to be rescheduled using a relationship between relative traveling positions of respective passenger transports, information relevant to advancing routes of the passenger transports, and other rescheduling history information, and give the determined rescheduled objects in the timetable to the schedule prediction simulator.

Abstract: There is provided a maintenance recommendation system that creates an estimation model of failure modes of a new model of a device only from an occurrence probability of a failure mode. Based on an estimation model for an old model, the occurrence probability of a failure mode where a component is changed from the old model is updated only on a spot of a component change, and this creates an estimation model of failure modes intended for a new model newly commercially available. Thus, the attachment of the inspection result and the failure mode of a faulty facility is learned, an estimation model of failure modes is created to support facility maintenance services for a new model newly commercially available having a small amount of data of inspection results in failure daily reports for difficulty in learning.

Abstract: The present invention provides maintenance recommendation system and method that improve the accuracy of estimating a failure mode of equipment and thereby reduce frequency of replacement operations, shorten a time of examination, and decrease a recovery time of equipment from a failure. A maintenance recommendation system of the present invention identifies a failure mode of a machine and comprises an information input element to input one or more inspection results required to identify a failure mode, a temporary storage unit to store the inspection results, a failure mode probability calculating unit to estimate probabilities of failure modes from results of inspection performed one or more times, and an estimation-accuracy determining unit to calculate uncertainty of the probabilities of the failure modes. The system presents inspection items based on the uncertainty of the probabilities of the failure modes.

Abstract: The knowledge model construction system includes: a CAD data which stores a design information including information on configurations of the parts; an input unit which inputs an element knowledge model which includes a plurality of combinations, each of the combinations being a combination of an element knowledge and an establishment condition thereof, the element knowledge representing a causal relationship with respect to an asset; a knowledge model construction unit which extracts a combination of an element knowledge applicable to an object asset and an establishment condition thereof by comparing the CAD data of the object asset with the establishment conditions of the element knowledge model; and an object asset knowledge model which records the extracted combination of the element knowledge and the establishment condition thereof as a knowledge model. Thus, the knowledge model construction system is able to construct a knowledge model of a new asset with less man-hours.

Abstract: To efficiently implement a desired maintenance task improvement by formulating an optimum maintenance task and IoT introduction plan. An IoT comprehensive scenario generation unit 7000 that extracts an applicable IoT menu in IoT menus from a feature of a maintenance task that is a target, and generates an IoT application simulation setting, an IoT adjustment unit 8000 that executes IoT application simulation for the IoT application simulation setting, a maintenance task simulation unit 9000 that executes maintenance task simulation that incorporates IoT, and an evaluation unit 4000 that gives an instruction to the IoT adjustment unit 8000 to implement a next IoT application simulation so as to optimize an improvement by determining presence or absence of a task improvement based on a result of the maintenance task simulation, and presents an improvement result when the IoT application simulation is completed are included.

Abstract: There is provided a design support system including a designer terminal, a maintenance personnel terminal, and a design support device, in which the design support device includes a failure causal model database, a failure causal model updating unit that updates the failure causal model based on an assumed cause of a failure of the input target equipment, a maintenance support unit that estimates a type of a failure having a high occurrence probability and the cause thereof based on a symptom of the input target equipment and the failure causal model, and outputs the estimated result to the maintenance personnel terminal, a maintenance record database that stores authenticity information input from the maintenance personnel terminal for the estimated type of the failure and the cause, and a failure cause analysis unit that updates the failure causal model based on the authenticity information stored in the maintenance record database, estimates a failure cause of the target equipment based on the updated fail

Abstract: A highly-reliable work report is prepared while reducing the worker's burdens. A work support system 200 prepares a work report by using information including at least a video collected while conducting work. The work support system 200 includes: a work completion recognition unit 240 that judges a completion of the work from the information collected while conducting the work and recognizes completion time of day of the work; a video extraction unit 250 that extracts a video upon completion of the work from the video, which are collected while conducting the work, with reference to the completion time of day of the work; a work recognition unit 260 that recognizes a work item(s) of the work by using the extracted video upon completion of the work; and a work history generation unit 280 that generates a work history of the work in the work report on the basis of recognition results by the work completion recognition unit 240 and the work recognition unit 260.

Abstract: Various failure rates are supposed for each facility, and an optimal maintenance plan is made. A maintenance planning apparatus includes a failure rate model generation unit that generates a failure rate model on the basis of failure probability information which is set for an O&M asset by a user, a simulation execution unit that executes simulation regarding a failure which possibly occurs in the O&M asset in a plurality of different conditions on the basis of the generated failure rate model, a KPI computation unit that computes a KPI corresponding to each of the plurality of different conditions on the basis of results of the simulation, and an analysis unit that analyzes the plurality of different conditions and KPIs respectively corresponding to the plurality of different conditions, so as to determine an optimal condition corresponding to the best KPI.

Abstract: A system, which is configured to generate an action for controlling a business to be carried out by a business operation system, the system is configured to: obtain business data including a plurality of attributes relating to the business from the business operation system; identify target data to be analyzed based on a distribution of a relevant indicator; analyze the target data, to thereby calculate an awareness feature, which is likely to contribute to improvement of the business evaluation indicator; generate an action for improving the business evaluation indicator based on the awareness feature.

Abstract: A data analysis device 100 includes a storage device 101 configured to store pieces of knowledge used for data analysis, and a computing device 104 configured to perform a process of extracting variables defining the pieces of knowledge from the pieces of knowledge, a process of specifying values corresponding to the variables for data to be analyzed, and a process of performing, based on the values corresponding to the variables and a predetermined evaluation index, an analysis process for a relation between the variables and the evaluation index to specify information related to a combination of the variables for improving the evaluation index as a suggestion for improvement of the evaluation index.

Abstract: There is provided a failure mode specifying system or the like that suitably specifies a failure mode of an apparatus. A failure mode specifying system 10 includes a communication portion 11 that obtains data including a detection value of a sensor 22 which is installed in an apparatus 20, an apparatus structural parameter estimating portion 14 that estimates a predetermined apparatus structural parameter based on a structure and properties of the apparatus 20, based on the data which is obtained by the communication portion 11, a failure mode specifying portion 16 that specifies a failure mode indicating a kind of failure or failure sign of the apparatus 20, based on the apparatus structural parameter, and an input-output portion 18 that presents the failure mode which is specified by the failure mode specifying portion 16.

Abstract: A plan generator uses plan requirement data read from a storage device and modification know-how data read from the storage device to determine a decision variable for a new plan so that the new plan satisfies a constraint and an objective function and is aligned with any of groups included in the modification know-how data. The modification know-how data includes a plurality of groups for which an anti-pattern indicating trends of job patterns of a plurality of plans before modification, a reference pattern indicating trends of job patterns of a plurality of plans after modification that have been obtained by modifying the plans before the modification by a planner, and a modification rate that is a statistical amount of the plan-related information and the decision variables of the plurality of plans before the modification, have been obtained.

Abstract: A system, which is configured to generate an action for controlling a business to be carried out by a business operation system, the system is configured to: obtain business data including a plurality of attributes relating to the business from the business operation system; identify target data to be analyzed based on a distribution of a relevant indicator; analyze the target data, to thereby calculate an awareness feature, which is likely to contribute to improvement of the business evaluation indicator; generate an action for improving the business evaluation indicator based on the awareness feature.

Abstract: When multiple explanatory variables are automatically created, a huge amount of output suggestions causes a heavy burden on selecting the suggestion. A marketing support system is configured to include a suggestion extraction unit that accepts purchase data and analyzes a correlation between the purchase data to output a composite variable, a restriction filtering unit that accepts the composite variable and a restriction table to exclude the composite variable based on a restriction condition defined in the restriction table, and a result filtering unit that uses a measure result defined in the past to estimate an anticipated effect when a measure based on the composite variable is performed, and selects a plurality of explanatory variables.

Abstract: A maintenance process flow for a plant is automatically generated based on a prediction result of a life of a pipe. A maintenance process flow generation device configured to generate a maintenance process flow for a plant including a plurality of pipes and a plurality of machines as elements, specifies a target pipe, extracts a maintenance range that is a combination of the elements as maintenance targets, determines necessity of a process required for maintenance on the plurality of elements that can be collectively maintained, generates a process flow defining an order relationship of processes executed in the maintenance of the target plant based on a result of the process necessity determination and master process flow information, evaluates workability of the process included in the process flow, calculates work time of the process flow based on a result of the workability evaluation, and outputs information presenting the maintenance range, the process flow and the work time.

Abstract: The invention provides a maintenance recommendation system in which an inspection item is presented timely in the halfway of an inspection, accuracy of failure mode identification is improved, a failure mode is identified at an early stage, meanwhile, a time required for investigating a content of the failure is reduced, and a time from device failure to reset is shortened. The maintenance recommendation system includes: a primary storage unit that stores an input inspection result; a failure mode probability calculation unit that is configured to calculate a probability of a failure mode based on the inspection result stored in the primary storage unit; an inspection item search unit that is configured to extract an inspection item with the minimum inspection score from uninspected inspection items; and a main routine operation unit that is configured to narrow down a failure mode candidate and an inspection item candidate from all inspection items.

Abstract: In a production support system, process knowledge information is updated using machine learning on the basis of implementable process information, and implementable process information is output as a production plan of a product. Accordingly, production can be carried out considering factors, such as restart cost of facilities used in each of processes, for which skilled experience and knowledge are required with respect to the production of the product, and therefore the product can be produced effectively with low cost. Further, even when limitation conditions such as production capacity or quantity of a product exist for each of processes, suitable production can be carried out that satisfies these limitation conditions.